Lead MDM Engineer :: Onsite in Austin, TX (Relocation will work)

Hi,

Hope all is well,

Please find the job description given below and let me know your interest.

Position: Lead MDM Engineer

Location: Onsite in Austin, TX (Relocation will work)

Contract: 12 Months Contract

Job Description:

• Data Governance

• MDM Strategy

• Data Integration

• Team Leadership

• Agile Methodologies

Key Responsibilities

• Implementation Architecture Design and implement MDM technology solutions, including data modeling, data integration, match/merge rules, and ETL processes.
• Team Leadership
• Lead, mentor, and manage a team of MDM professionals (data analysts, stewards), setting performance expectations and managing project deliverables.
• Cross Functional Collaboration Partner with business leaders (Sales, Finance, Marketing) and IT to translate business requirements into technical design specifications.
• Data Quality Monitoring
• Oversee the establishment of data quality rules, monitoring KPIs, and resolving data quality issues.
• Change Management
• Technical Lead Expertise
• Proven track record of managing complex data, MDM, or governance projects. Strong proficiency in AgileScrum methodologies and tools (e.g., Jira, Confluence, Smartsheet, MS Project).
• Master Data Governance
• Deep understanding of master data management principles, data governance frameworks, and large-scale data quality improvement initiatives.
• Proven ability to capture document requirements, assess business impacts and tradeoffs, and align stakeholders through interviews, workshops, and requirements harmonization.
• Technical Data Skills
• Deep familiarity with DB data architecture, hierarchies, and enrichment preferred. Hands-on experience with data profiling, source system analysis, and KPI definition.
• Strong SQL Python expertise and experience querying large, complex data sets. Experience with at least one analytics platform (e.g., Hadoop, Spark, Snowflake).
• Experience with BI tools such as Tableau, ThoughtSpot, or Business Objects.
• Data Architecture Quality
• Understanding of data architecture principles, data lineage, and experience maintaining data dictionaries/definitions.
• Tools Platforms
• Exposure to tools such as Collibra, Data Hub (or equivalent for governance and data quality).
• Collaboration / Communication
• Ability to navigate a matrixed organization, work across time zones, drive consensus among competing priorities, and build strong stakeholder relationships.
• Execution Accountability
• Strong problem-solving skills with a track record of delivering results on time and within budget in large, complex programs.

Thanks & Regards